Title :
Compressed sensing through a pipe
Author :
Whitelonis, Nicholas ; Ling, Hao
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
A method is proposed that uses compressed sensing to obtain high-resolution radar images through a pipe. The method is demonstrated with simulation and measurement data and found to provide superior resolution in comparison to a matched filter.
Keywords :
compressed sensing; image reconstruction; image resolution; pipes; radar imaging; radar resolution; compressed sensing; high-resolution radar images; matched filter; measurement data; pipe; Azimuth; Compressed sensing; Direction of arrival estimation; Estimation; Imaging; Matched filters; Radar imaging;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6347966
